Deep Learning Prediction of Cancer Prevalence from Satellite Imagery
The worldwide growth of cancer incidence can be explained in part by changes in the prevalence and distribution of risk factors. There are geographical gaps in the estimates of cancer prevalence, which could be filled with innovative methods. We used deep learning (DL) features extracted from satell...
Main Authors: | Jean-Emmanuel Bibault, Maxime Bassenne, Hongyi Ren, Lei Xing |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/12/12/3844 |
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